20.1537, Qs: NYT Corpus - Call for Demos, Prototypes & Research

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LINGUIST List: Vol-20-1537. Wed Apr 22 2009. ISSN: 1068 - 4875.

Subject: 20.1537, Qs: NYT Corpus - Call for Demos, Prototypes & Research

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1)
Date: 20-Apr-2009
From: Evan Sandhaus < sandes at nytimes.com >
Subject: NYT Corpus - Call for Demos, Prototypes & Research
 

	
-------------------------Message 1 ---------------------------------- 
Date: Wed, 22 Apr 2009 12:58:51
From: Evan Sandhaus [sandes at nytimes.com]
Subject: NYT Corpus - Call for Demos, Prototypes & Research

E-mail this message to a friend:
http://linguistlist.org/issues/emailmessage/verification.cfm?iss=20-1537.html&submissionid=214518&topicid=8&msgnumber=1
  


Last October, The New York Times Company released The New York Times
Annotated Corpus to the computational linguistics community
(http://corpus.nytimes.com).  

This June, I plan to present examples of research on this data as part of
the closing keynote at the 2009 Semantic Technologies Conference.  If you
or your colleagues have done work with this data and you'd like us to
consider your research summary, prototype, or demo for mention in our talk
please write to me at sandhes at nytimes.com.  Also, I encourage you to share
your work with the community at http://corpus.nytimes.com.

A little bit of Background on The New York Times Annotated Corpus:

Available for noncommercial research license from The Linguistic Data
Consortium (LDC), the corpus spans 20 years of newspapers between 1987 and
2007 (that's 7,475 issues, to be exact). This collection includes the text
of 1.8 million articles written at The Times.  Of these, more than 1.5
million have been manually annotated by The New York Times Index with
distinct tags for people, places, topics and organizations drawn from a
controlled vocabulary. A further 650,000 articles also include summaries
written by indexers from the New York Times Index.  The corpus is provided
as a collection of XML documents in the News Industry Text Format and
includes open source Java tools for parsing documents into memory resident
objects.

You can read more about the corpus at:

http://open.blogs.nytimes.com/2009/01/12/fatten-up-your-corpus/

All the best,

Evan Sandhaus
--
Semantic Technologist
Research & Development Operations
New York Times Company 

Linguistic Field(s): Computational Linguistics
                     Lexicography
                     Semantics
                     Text/Corpus Linguistics




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